Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder

Vision-based detection of road accidents using traffic surveillance video is a highly desirable but challenging task. In this paper, we propose a novel framework for automatic detection of road accidents in surveillance videos. The proposed framework automatically learns feature representation from...

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Bibliographic Details

Published in:	IEEE transactions on intelligent transportation systems Vol. 20; no. 3; pp. 879 - 887
Main Authors:	Singh, Dinesh, Mohan, Chalavadi Krishna
Format:	Journal Article
Language:	English
Published:	IEEE 01.03.2019
Subjects:	Accident detection Accidents anomaly detection deep learning Feature extraction stacked autoencoder Target tracking Trajectory Urban areas Videos
ISSN:	1524-9050, 1558-0016
Online Access:	Get full text
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